Research Proposal: RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers

Introduction: RNA molecules play a vital role in various biological processes, including gene expression, RNA splicing, and protein synthesis. The three-dimensional structure of RNA molecules is crucial for their function, and predicting the 3D structure of RNA molecules is challenging due to the complex nature of RNA folding. The RNA-Puzzles initiative aims to improve the prediction of RNA structures through community-wide collaborative efforts. In Round IV of RNA-Puzzles, four ribozymes and two aptamers were selected as targets for 3D structure prediction.

Objective: The objective of this research proposal is to participate in the RNA-Puzzles Round IV challenge and predict the 3D structure of the four ribozymes and two aptamers using computational methods.

Methods: The RNA-Puzzles challenge provides a set of experimental data, including X-ray crystallography, NMR spectroscopy, and cryo-electron microscopy, to aid in the prediction of RNA structures. Computational methods, including molecular dynamics simulations, homology modeling, and ab initio folding, will be used to predict the 3D structure of the ribozymes and aptamers. Additionally, we will use RNA structure prediction software, such as RNAComposer and Rosetta, to assist in the prediction process.

Expected Results: The predicted 3D structures of the four ribozymes and two aptamers will be compared with the experimental data provided by the RNA-Puzzles challenge. The accuracy of the predicted structures will be evaluated using metrics such as RMSD, MolProbity scores, and clash scores. The results will be submitted to the RNA-Puzzles challenge, and the accuracy of the predictions will be compared to other participants.

Conclusion: The RNA-Puzzles initiative provides an opportunity for the scientific community to collaborate and improve the prediction of RNA structures. By participating in RNA-Puzzles Round IV, we aim to contribute to the advancement of RNA structure prediction and gain insights into the complex nature of RNA folding.

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